Machine learning models based on seven LM-related genes (CHEK2, LIPT1, TUFM, NDUFA10, AGK, PNPLA2, and GFM1) accurately predicted immunotherapy outcomes for multiple cancer types, including LUSC, and outperformed other currently known biomarkers. This evidence concerns the gene GFM1 and cancer.